[PDF.39ny] Mastering Machine Learning With scikit-learn
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Mastering Machine Learning With scikit-learn
Gavin Hackeling
[PDF.gv13] Mastering Machine Learning With scikit-learn
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| #915842 in Books | 2014-11-10 | 2014-10-29 | Original language:English | PDF # 1 | 9.25 x.54 x7.50l,.92 | File type: PDF | 238 pages||5 of 5 people found the following review helpful.| Excellent introductory book|By Igor Borovikov|The book may be a perfect addition to any of the currently available online ML courses (e.g. Coursera "Machine Learning" by Andrew Ng, or Udacity "Intro to Machine Learning" by Sebastian Thrun). The text doesn't go too deep into the conceptual side of the subject and keeps things very simple. That makes it very accessible. All conce|About the Author||Gavin Hackeling |Gavin Hackeling develops machine learning services for large-scale documents and image classification at an advertising network in New York. He received his Master's degree from New York University's Interactive Telecomm
Apply effective learning algorithms to real-world problems using scikit-learn
About This Book
Design and troubleshoot machine learning systems for common tasks including regression, classification, and clustering
Acquaint yourself with popular machine learning algorithms, including decision trees, logistic regression, and support vector machines
A practical example-based guide to help you gain expertise in implementing and evaluating...
You can specify the type of files you want, for your device.Mastering Machine Learning With scikit-learn | Gavin Hackeling. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.
